Connect Biopharma Holdings (CNTB) Accumulated Expenses (2023 - 2026)
Connect Biopharma Holdings (CNTB) recorded Accumulated Expenses of $13.89 million in Q2 2026, up 75.1% from $7.93 million a year earlier and up 12.6% from the prior quarter.
Connect Biopharma Holdings (CNTB) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Connect Biopharma Holdings reported Accumulated Expenses of $11.16 million, up 43.0% from FY2024.
- Across earlier years, Accumulated Expenses came in at $7.8 million in FY2024 (-17.7%) and $9.48 million in FY2023.
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 42.7% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $12.33 million (Q1 2026), $11.16 million (Q4 2025) and $8.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Connect Biopharma Holdings | 47.02 Mn | -129.66 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.89 Mn |
| Mar 31, 2026 | 12.33 Mn |
| Dec 31, 2025 | 11.16 Mn |
| Sep 30, 2025 | 8.93 Mn |
| Jun 30, 2025 | 7.93 Mn |
| Mar 31, 2025 | 7.24 Mn |
| Dec 31, 2024 | 7.80 Mn |
| Dec 31, 2023 | 9.48 Mn |
Connect Biopharma Holdings Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CNTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CNTB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CNTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();